Friedemann Zindler
Data Scientist
Klagenfurt, Carinthia, Austria
Summary
👤
Senior🎓
Top SchoolFriedemann Zindler is a data scientist with a decade of experience applying machine learning and AI across industry and research settings, currently contributing at Neptun Data Processing in Austria. He has built production-ready text classification systems in Python and transitioned from robotics and AI research to practical AI engineering roles, reflecting a strong bridge between theory and applied solutions. His academic background combines applied computer science and psychology with top honors, informing a human-centered approach to data problems. Friedemann’s career includes stints at JOANNEUM RESEARCH and Talto, where he focused on embedding ML into real-world products and services. Colleagues describe him as curious and pragmatic—equally comfortable prototyping models and shepherding them into production. Based in Klagenfurt, he brings a blend of research rigor and commercial delivery that helps teams turn complex data into actionable outcomes.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, PSYCHOLOGY, mit Auszeichnung bestanden (1.5), Bachelor of Science - BS, PSYCHOLOGY, mit Auszeichnung bestanden (1.5) at Universität Klagenfurt
Github Skills (20)
simulation10
robotics10
gymnasium10
openai-gym10
agent-based-modeling10
ignition10
reinforcement-learning-environments10
stable-baselines10
robocup10
deep-reinforcement-learning10
pybullet10
mujoco10
reinforcement-learning9
supply-chain-management8
robot4
Programming languages (1)
Github contributions (5)
jr-robotics/robo-gym
May 2020 - Jul 2021
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Contributions:212 commits, 6 PRs, 7 pushes in 1 year 2 months
ignitionstable-baselinespybulletgymnasiumdeep-reinforcement-learning
daleitner/SE2_Project
Apr 2016 - Jun 2016
Contributions:29 commits, 28 pushes in 1 month
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